First of all, I will let you know the core essential skills that every data scientist needs. In the field of data science, There are also variety of roles that require the skills from both the business as well as the product side.

Our main goal is to list-out the core skills within each category that will give you the biggest impression ever in the career.

Here, We'll learn about core skills that will get you a strong vision. Yes, Some of the employers often getting more requirements. But, If you crack the following essential skills you will get your dream job in the data science field.

1. Data Analysis

Let's know about the data analysis that you need able to analyze the data and extract into useful insights. Then, We have to ensure the modeling before it gets done. That includes data visualization and calculating essential key stats. While the data analysis done with the rest of the building product.

2. Data Processing

Here we can define the data processing has to be done with getting data, extracting, transforming, aggregating, de-aggregating the data means that the data is being processed as raw into useful insights.

3. Applied ML

It's not a big deal if you directly doing the modeling or not.. Machine Learning is the trending technologies within this field. It has data exploration, feature engineering, algorithm selection and training of model.

Business Data Scientist

Business data scientists has the role and responsibility to bring business profitability through data analysis, predictive modeling, and testing. For business data scientists, The motto is on getting insights that can be extracted from data.

Here are the few examples following below

Investing: Using stock price data global macro-system, and machine learning to predict stock prices.

Marketing: Building predictive models and building strategies for ad markets like Google Adwords or Facebook Ads.

Strategy: Using clustering to find "similar"test and control stores for a chain-wide development.

Operations: Building models that predict customer churn, allowing the company to proactivity reach out.

4. Domain Knowledge

Data Science is never done ina vacuum. You will always be applying your Data Science skills in a domain i.e., Marketing or Finance to drive real business value. You either need to have domain knowledge or the desire to acquire domain knowledge. In fact, it's not uncommon for data science interviews to include case interviews.

5. Communication and Representation

As the part of business involvement Communication & Representation is the challenge thing to answer the every single issue. And other side is communications with your insights to key stakeholders to get buy-in. In fact , Your job has many similarity with management consulting.

Product data scientist

Product data scientists build AI/ML tools and software . They train the models that exactly improve experience of the activity, build prototypes, and integrate ML solutions into other parts of the software. For product data scientists, the motto is on the product that you build.

Here are the few examples following below

E-Commerce: Building and Integrating a dynamic pricing model into an e-commerce platform,

Entertainment: Building a recommendation engine to recommend other movies a user might enjoy.

Banking: Building a fraud detection system after analyzing large numbers of credit card transactions.

SaaS: Building a chatbot platform that uses natural language processing(NLP) to provide smarter chatbots.

6. Software Development basics

You won't need to know as much about software development as a full-stack engineer. But, Product data scientists usually work closely with software engineers. So you'll need to be able to speak a shared language. Be familiar with concepts like Agile development, Version Control System, and Software Architecture at a high level.

7. Data Pipelines

As a product data scientist, managing database and data pipelines could be a big deal of your job. Become familiar with Database languages such as SQL. Also get to know other data formats i.e., JSON files web scraping or unconstructed data.

Thanks for Reading..!